Received signal strength index estimation using Kalman Filter for fuzzy based transmission power control in wireless sensor networks

Abstract

Received Signal Strength estimation plays a vital role for Transmission Power Control in Wireless Sensor Networks (WSN). The received signal from the wireless channel is attenuated by a lot of noises such as interference noise, additive white Gaussian noise and measurement noise. To obtained a noise free and accurate data RSSI estimation is very important. Here Fading Channel model is used to represent the real scenario of Wireless Channel for RSSI estimation for various noisy environment conditions such as high noise environment, medium noise environment and low noise environment. RSSI obtained for Kalman Filter (KF) estimation is very accurate, since it performs filtering along with estimation. This estimated RSSI plays a crucial role for deciding the next transmission power required for Fuzzy logic based Transmission Power Control (TPC). Thereby increasing the life time of WSN.